{"id":"W4414399304","doi":"10.1016/s0167-8140(25)04701-2","title":"A CONTOUR BY ANY OTHER NAME: PROVINCIAL LOGISTICS OF IMPLEMENTING THE PAN-CANADIAN DATA STRATEGY","year":2025,"lang":"en","type":"article","venue":"Radiotherapy and Oncology","topic":"Canadian Policy and Governance","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa; University of Toronto; Dalhousie University; Nova Scotia Health Authority; Michener Institute; Public Health Ontario","funders":"","keywords":"Standardization; General partnership; Workflow; Metadata; Radiation oncology; Prioritization; Data access; Data sharing; Precision medicine","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.05367858,0.0008925952,0.000781937,0.004496085,0.01881686,0.01648123,0.006232794,0.003646062,0.02721531],"category_scores_gemma":[0.09483605,0.001255212,0.001211448,0.00618011,0.004875135,0.006656854,0.01176536,0.006062666,0.005815423],"about_ca_system_candidate":true,"about_ca_system_consensus":true,"about_ca_system_score_codex":0.1603138,"about_ca_system_score_gemma":0.6096151,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9778627,"about_ca_topic_score_gemma":0.9777199,"domain_scores_codex":[0.9393986,0.01088559,0.003214839,0.004386048,0.03239644,0.009718347],"domain_scores_gemma":[0.7935774,0.01416486,0.004197623,0.01493209,0.1348347,0.03829338],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002666528,0.0002513032,0.01814212,0.0008768955,0.00009658932,0.0007369325,0.009429903,0.003623478,0.003233832,0.09515622,0.6602751,0.207911],"study_design_scores_gemma":[0.00008297,0.0001176476,0.01582475,0.0005868086,0.0000335748,0.0001261091,0.00598744,0.002628461,0.0009817013,0.005611927,0.9678361,0.0001826111],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.04430126,0.003336583,0.07231726,0.4256461,0.004830193,0.01573323,0.01439382,0.00617144,0.4132702],"genre_scores_gemma":[0.3143105,0.00355791,0.3411846,0.1002364,0.0006749238,0.005943854,0.01846513,0.002982867,0.2126437],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8396862,"threshold_uncertainty_score":0.9739169,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04078605621016573,"score_gpt":0.3736457846137627,"score_spread":0.332859728403597,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}